IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v141y2017icp2177-2185.html
   My bibliography  Save this article

Duty cycle of an energy storage system in a renewable energy applications: Construction and analysis

Author

Listed:
  • Chen, Jizhong
  • Hou, Chaoyong
  • Wu, Guoliang
  • Wang, Kunyang
  • Li, Youning
  • Jia, Xuecui
  • Li, Xiangjun
  • Hui, Dong

Abstract

Assessing the applicability of an energy storage system (ESS) based on its duty cycle, i.e., its charge/discharge profile, which represents the demands (associated with a specific application) on an ESS, has attracted great attention in the field of renewable energy. The duty cycle of an ESS is determined and analyzed in this paper. The process of obtaining the duty cycle includes extracting common factors from the ESS operation data using factor analysis, clustering the original fragments using a k-means clustering analysis of the common factors, and constructing typical duty-cycle curves using representative sections of each cluster dataset. The duty cycles of the ESS in schedule output, output smoothness, and schedule and smoothness combination applications, for example, were obtained and analyzed. In a schedule output application, the power ratio of the ESS is the primary characteristic parameter, and each band (high, mid, and low) of the power grade accounts for one third of the duty cycle. The changing rate of the power is the key to the assessment and evaluation of output smoothness. The duty cycle of the schedule and smoothness combination application can be treated as a linear superposition of independent duty cycles. The results showed that a combination of factor analysis and k-means clustering methods can effectively identify and quantify the characteristic parameters of the duty cycle to determine the applicability of the ESS.

Suggested Citation

  • Chen, Jizhong & Hou, Chaoyong & Wu, Guoliang & Wang, Kunyang & Li, Youning & Jia, Xuecui & Li, Xiangjun & Hui, Dong, 2017. "Duty cycle of an energy storage system in a renewable energy applications: Construction and analysis," Energy, Elsevier, vol. 141(C), pages 2177-2185.
    • Handle: RePEc:eee:energy:v:141:y:2017:i:c:p:2177-2185
    DOI: 10.1016/j.energy.2017.11.034
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217318595
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2017.11.034?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Leisch, Friedrich, 2006. "A toolbox for K-centroids cluster analysis," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 526-544, November.
    2. Kyriakopoulos, Grigorios L. & Arabatzis, Garyfallos, 2016. "Electrical energy storage systems in electricity generation: Energy policies, innovative technologies, and regulatory regimes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1044-1067.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zeng, Shouzhen & Streimikiene, Dalia & Baležentis, Tomas, 2017. "Review of and comparative assessment of energy security in Baltic States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 185-192.
    2. Masebinu, S.O. & Akinlabi, E.T. & Muzenda, E. & Aboyade, A.O., 2017. "Techno-economics and environmental analysis of energy storage for a student residence under a South African time-of-use tariff rate," Energy, Elsevier, vol. 135(C), pages 413-429.
    3. Sadi, M. & Arabkoohsar, A., 2019. "Exergoeconomic analysis of a combined solar-waste driven power plant," Renewable Energy, Elsevier, vol. 141(C), pages 883-893.
    4. Beatrice Castellani & Alberto Maria Gambelli & Elena Morini & Benedetto Nastasi & Andrea Presciutti & Mirko Filipponi & Andrea Nicolini & Federico Rossi, 2017. "Experimental Investigation on CO 2 Methanation Process for Solar Energy Storage Compared to CO 2 -Based Methanol Synthesis," Energies, MDPI, vol. 10(7), pages 1-13, June.
    5. Jurasz, Jakub & Ciapała, Bartłomiej, 2017. "Integrating photovoltaics into energy systems by using a run-off-river power plant with pondage to smooth energy exchange with the power gird," Applied Energy, Elsevier, vol. 198(C), pages 21-35.
    6. Evgeny Lisin & Wadim Strielkowski & Veronika Chernova & Alena Fomina, 2018. "Assessment of the Territorial Energy Security in the Context of Energy Systems Integration," Energies, MDPI, vol. 11(12), pages 1-14, November.
    7. Hajibaba, Homa & Gretzel, Ulrike & Leisch, Friedrich & Dolnicar, Sara, 2015. "Crisis-resistant tourists," Annals of Tourism Research, Elsevier, vol. 53(C), pages 46-60.
    8. Mantziaris, Stamatis & Iliopoulos, Constantine & Theodorakopoulou, Irini & Petropoulou, Eugenia, 2017. "Perennial energy crops vs. durum wheat in low input lands: Economic analysis of a Greek case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 789-800.
    9. Robert Ferstl & David Seres, 2012. "Clustering Austrian Banks’ Business Models and Peer Groups in the European Banking Sector," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 24, pages 79-95.
    10. Arabkoohsar, A. & Andresen, G.B., 2017. "Thermodynamics and economic performance comparison of three high-temperature hot rock cavern based energy storage concepts," Energy, Elsevier, vol. 132(C), pages 12-21.
    11. Theodoros Anagnostopoulos & Grigorios L. Kyriakopoulos & Stamatios Ntanos & Eleni Gkika & Sofia Asonitou, 2020. "Intelligent Predictive Analytics for Sustainable Business Investment in Renewable Energy Sources," Sustainability, MDPI, vol. 12(7), pages 1-11, April.
    12. Rudolf Scitovski, 2017. "A new global optimization method for a symmetric Lipschitz continuous function and the application to searching for a globally optimal partition of a one-dimensional set," Journal of Global Optimization, Springer, vol. 68(4), pages 713-727, August.
    13. Rios, Vicente & Gianmoena, Lisa, 2018. "Convergence in CO2 emissions: A spatial economic analysis with cross-country interactions," Energy Economics, Elsevier, vol. 75(C), pages 222-238.
    14. Rudolf Scitovski & Kristian Sabo, 2019. "Application of the DIRECT algorithm to searching for an optimal k-partition of the set $$\mathcal {A}\subset \mathbb {R}^n$$ A ⊂ R n and its application to the multiple circle detection problem," Journal of Global Optimization, Springer, vol. 74(1), pages 63-77, May.
    15. Papadopoulos, Agis M., 2020. "Renewable energies and storage in small insular systems: Potential, perspectives and a case study," Renewable Energy, Elsevier, vol. 149(C), pages 103-114.
    16. Croce, Antonello Ignazio & Musolino, Giuseppe & Rindone, Corrado & Vitetta, Antonino, 2019. "Sustainable mobility and energy resources: A quantitative assessment of transport services with electrical vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    17. de Wildt, T.E. & Chappin, E.J.L. & van de Kaa, G. & Herder, P.M. & van de Poel, I.R., 2019. "Conflicting values in the smart electricity grid a comprehensive overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 184-196.
    18. Arabkoohsar, Ahmad & Rahrabi, Hamid Reza & Alsagri, Ali Sulaiman & Alrobaian, Abdulrahman A., 2020. "Impact of Off-design operation on the effectiveness of a low-temperature compressed air energy storage system," Energy, Elsevier, vol. 197(C).
    19. Boztug, Yasemin & Reutterer, Thomas, 2008. "A combined approach for segment-specific market basket analysis," European Journal of Operational Research, Elsevier, vol. 187(1), pages 294-312, May.
    20. Su, Rui & Chen, Bin & Wang, Saige & Duan, Cuncun, 2024. "Energy technical resilience assessment based on complex network analysis – A case study of China," Applied Energy, Elsevier, vol. 364(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:141:y:2017:i:c:p:2177-2185. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.